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For: Liang Y, Tang Z, Yan M, Chen J, Liu Q, Xiang Y. Comparison detector for cervical cell/clumps detection in the limited data scenario. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2021.01.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Number Cited by Other Article(s)
1
Fei M, Shen Z, Song Z, Wang X, Cao M, Yao L, Zhao X, Wang Q, Zhang L. Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment. Neural Netw 2024;178:106405. [PMID: 38815471 DOI: 10.1016/j.neunet.2024.106405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 05/10/2024] [Accepted: 05/20/2024] [Indexed: 06/01/2024]
2
Li G, Li X, Wang Y, Gong S, Yang Y, Xu C. Detection of Cervical Lesion Cell/Clumps Based on Adaptive Feature Extraction. Bioengineering (Basel) 2024;11:686. [PMID: 39061768 PMCID: PMC11274185 DOI: 10.3390/bioengineering11070686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 06/20/2024] [Accepted: 06/28/2024] [Indexed: 07/28/2024]  Open
3
Glüge S, Balabanov S, Koelzer VH, Ott T. Evaluation of deep learning training strategies for the classification of bone marrow cell images. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024;243:107924. [PMID: 37979517 DOI: 10.1016/j.cmpb.2023.107924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 09/28/2023] [Accepted: 11/06/2023] [Indexed: 11/20/2023]
4
Zhao J, He YJ, Zhou SH, Qin J, Xie YN. CNSeg: A dataset for cervical nuclear segmentation. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2023;241:107732. [PMID: 37544166 DOI: 10.1016/j.cmpb.2023.107732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 05/31/2023] [Accepted: 07/23/2023] [Indexed: 08/08/2023]
5
Liang Y, Feng S, Liu Q, Kuang H, Liu J, Liao L, Du Y, Wang J. Exploring Contextual Relationships for Cervical Abnormal Cell Detection. IEEE J Biomed Health Inform 2023;27:4086-4097. [PMID: 37192032 DOI: 10.1109/jbhi.2023.3276919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
6
Deep learning for computational cytology: A survey. Med Image Anal 2023;84:102691. [PMID: 36455333 DOI: 10.1016/j.media.2022.102691] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 10/22/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022]
7
Liang Y, Yin Z, Liu H, Zeng H, Wang J, Liu J, Che N. Weakly Supervised Deep Nuclei Segmentation With Sparsely Annotated Bounding Boxes for DNA Image Cytometry. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2023;20:785-795. [PMID: 34951851 DOI: 10.1109/tcbb.2021.3138189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
8
Allahqoli L, Laganà AS, Mazidimoradi A, Salehiniya H, Günther V, Chiantera V, Karimi Goghari S, Ghiasvand MM, Rahmani A, Momenimovahed Z, Alkatout I. Diagnosis of Cervical Cancer and Pre-Cancerous Lesions by Artificial Intelligence: A Systematic Review. Diagnostics (Basel) 2022;12:2771. [PMID: 36428831 PMCID: PMC9689914 DOI: 10.3390/diagnostics12112771] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/06/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022]  Open
9
Xu C, Li M, Li G, Zhang Y, Sun C, Bai N. Cervical Cell/Clumps Detection in Cytology Images Using Transfer Learning. Diagnostics (Basel) 2022;12:2477. [PMID: 36292166 PMCID: PMC9600700 DOI: 10.3390/diagnostics12102477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/07/2022] [Accepted: 10/10/2022] [Indexed: 12/04/2022]  Open
10
Chen T, Zheng W, Ying H, Tan X, Li K, Li X, Chen DZ, Wu J. A Task Decomposing and Cell Comparing Method for Cervical Lesion Cell Detection. IEEE TRANSACTIONS ON MEDICAL IMAGING 2022;41:2432-2442. [PMID: 35349436 DOI: 10.1109/tmi.2022.3163171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
11
Robust whole slide image analysis for cervical cancer screening using deep learning. Nat Commun 2021;12:5639. [PMID: 34561435 PMCID: PMC8463673 DOI: 10.1038/s41467-021-25296-x] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 08/03/2021] [Indexed: 01/20/2023]  Open
12
Cao L, Yang J, Rong Z, Li L, Xia B, You C, Lou G, Jiang L, Du C, Meng H, Wang W, Wang M, Li K, Hou Y. A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening. Med Image Anal 2021;73:102197. [PMID: 34403932 DOI: 10.1016/j.media.2021.102197] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 06/10/2021] [Accepted: 07/23/2021] [Indexed: 12/24/2022]
13
Liang Y, Pan C, Sun W, Liu Q, Du Y. Global context-aware cervical cell detection with soft scale anchor matching. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2021;204:106061. [PMID: 33819821 DOI: 10.1016/j.cmpb.2021.106061] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 03/18/2021] [Indexed: 06/12/2023]
14
AIN ALIAS NUR, AZANI MUSTAFA WAN, AMINUDIN JAMLOS MOHD, ALKHAYYAT AHMED, SHAKIR AB RAHMAN KHAIRUL, Q. MALIK RAMI. Improvement method for cervical cancer detection: A comparative analysis. Oncol Res 2021. [DOI: 10.32604/or.2022.025897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]  Open
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